Data quality report

Dataset statistics

Number of variables	22
Number of observations	73,908
Missing cells	288,306
Missing cells (%)	17.7%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	12.4 MiB
Average record size in memory	176.0 B

Variable types

Numeric	11
Categorical	7
DateTime	2
Boolean	1
Unsupported	1

Alerts

`df_index` is highly correlated with `fare_amount` and 2 other fields	High correlation
`RatecodeID` is highly correlated with `mta_tax` and 1 other fields	High correlation
`trip_distance` is highly correlated with `fare_amount` and 2 other fields	High correlation
`fare_amount` is highly correlated with `df_index` and 4 other fields	High correlation
`mta_tax` is highly correlated with `df_index` and 4 other fields	High correlation
`tip_amount` is highly correlated with `payment_type`	High correlation
`total_amount` is highly correlated with `df_index` and 4 other fields	High correlation
`payment_type` is highly correlated with `tip_amount`	High correlation
`trip_type` is highly correlated with `RatecodeID` and 1 other fields	High correlation
`duration` is highly correlated with `trip_distance` and 2 other fields	High correlation
`df_index` is highly correlated with `mta_tax`	High correlation
`RatecodeID` is highly correlated with `mta_tax` and 1 other fields	High correlation
`fare_amount` is highly correlated with `total_amount` and 1 other fields	High correlation
`mta_tax` is highly correlated with `df_index` and 2 other fields	High correlation
`tip_amount` is highly correlated with `payment_type`	High correlation
`tolls_amount` is highly correlated with `total_amount`	High correlation
`total_amount` is highly correlated with `fare_amount` and 2 other fields	High correlation
`payment_type` is highly correlated with `tip_amount`	High correlation
`trip_type` is highly correlated with `RatecodeID` and 1 other fields	High correlation
`duration` is highly correlated with `fare_amount` and 1 other fields	High correlation
`df_index` is highly correlated with `mta_tax`	High correlation
`RatecodeID` is highly correlated with `mta_tax` and 1 other fields	High correlation
`trip_distance` is highly correlated with `fare_amount` and 2 other fields	High correlation
`fare_amount` is highly correlated with `trip_distance` and 2 other fields	High correlation
`mta_tax` is highly correlated with `df_index` and 2 other fields	High correlation
`tip_amount` is highly correlated with `payment_type`	High correlation
`total_amount` is highly correlated with `trip_distance` and 2 other fields	High correlation
`payment_type` is highly correlated with `tip_amount`	High correlation
`trip_type` is highly correlated with `RatecodeID` and 1 other fields	High correlation
`duration` is highly correlated with `trip_distance` and 2 other fields	High correlation
`RatecodeID` is highly correlated with `mta_tax` and 1 other fields	High correlation
`mta_tax` is highly correlated with `RatecodeID` and 2 other fields	High correlation
`improvement_surcharge` is highly correlated with `mta_tax`	High correlation
`trip_type` is highly correlated with `RatecodeID` and 1 other fields	High correlation
`df_index` is highly correlated with `extra` and 2 other fields	High correlation
`RatecodeID` is highly correlated with `mta_tax` and 1 other fields	High correlation
`fare_amount` is highly correlated with `mta_tax` and 2 other fields	High correlation
`extra` is highly correlated with `df_index` and 2 other fields	High correlation
`mta_tax` is highly correlated with `df_index` and 6 other fields	High correlation
`tip_amount` is highly correlated with `df_index`	High correlation
`improvement_surcharge` is highly correlated with `fare_amount` and 3 other fields	High correlation
`total_amount` is highly correlated with `fare_amount` and 2 other fields	High correlation
`trip_type` is highly correlated with `RatecodeID` and 1 other fields	High correlation
`store_and_fwd_flag` has 35733 (48.3%) missing values	Missing
`RatecodeID` has 35733 (48.3%) missing values	Missing
`passenger_count` has 35733 (48.3%) missing values	Missing
`ehail_fee` has 73908 (100.0%) missing values	Missing
`payment_type` has 35733 (48.3%) missing values	Missing
`trip_type` has 35733 (48.3%) missing values	Missing
`congestion_surcharge` has 35733 (48.3%) missing values	Missing
`trip_distance` is highly skewed (γ1 = 72.23375746)	Skewed
`df_index` has unique values	Unique
`ehail_fee` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`trip_distance` has 1626 (2.2%) zeros	Zeros
`extra` has 45658 (61.8%) zeros	Zeros
`tip_amount` has 33957 (45.9%) zeros	Zeros
`tolls_amount` has 67701 (91.6%) zeros	Zeros

Reproduction

Analysis started	2022-07-28 08:53:58.753562
Analysis finished	2022-07-28 08:54:15.622245
Duration	16.87 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

df_index
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	73908
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	38742.87852

Minimum	0
Maximum	76517
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	577.5 KiB

Quantile statistics

Minimum	0
5-th percentile	3933.35
Q1	19621.75
median	39181.5
Q3	57849.25
95-th percentile	72778.65
Maximum	76517
Range	76517
Interquartile range (IQR)	38227.5

Descriptive statistics

Standard deviation	22076.00452
Coefficient of variation (CV)	0.5698080619
Kurtosis	-1.198774571
Mean	38742.87852
Median Absolute Deviation (MAD)	19109
Skewness	-0.03185112273
Sum	2863408666
Variance	487349975.8
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1	< 0.1%
51730	1	< 0.1%
51638	1	< 0.1%
51637	1	< 0.1%
51636	1	< 0.1%
51635	1	< 0.1%
51634	1	< 0.1%
51633	1	< 0.1%
51631	1	< 0.1%
51630	1	< 0.1%
Other values (73898)	73898	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
7	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%
11	1	< 0.1%
12	1	< 0.1%
13	1	< 0.1%

Value	Count	Frequency (%)
76517	1	< 0.1%
76516	1	< 0.1%
76515	1	< 0.1%
76514	1	< 0.1%
76513	1	< 0.1%
76512	1	< 0.1%
76511	1	< 0.1%
76510	1	< 0.1%
76509	1	< 0.1%
76508	1	< 0.1%

VendorID
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	577.5 KiB

2	66922
1	6986

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	73,908
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
2	66922	90.5%
1	6986	9.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2	66922	90.5%
1	6986	9.5%

Most occurring characters

Value	Count	Frequency (%)
2	66922	90.5%
1	6986	9.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	73908	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	66922	90.5%
1	6986	9.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	73908	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	66922	90.5%
1	6986	9.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	73908	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	66922	90.5%
1	6986	9.5%

lpep_pickup_datetime
Date

Distinct	56331
Distinct (%)	76.2%
Missing	0
Missing (%)	0.0%
Memory size	577.5 KiB

Minimum	2009-01-01 00:03:25
Maximum	2021-01-31 23:46:45

Histogram

Histogram with fixed size bins (bins=50)

lpep_dropoff_datetime
Date

Distinct	56402
Distinct (%)	76.3%
Missing	0
Missing (%)	0.0%
Memory size	577.5 KiB

Minimum	2009-01-01 00:12:25
Maximum	2021-01-31 23:57:08

Histogram

Histogram with fixed size bins (bins=50)

store_and_fwd_flag
Boolean

MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	35733
Missing (%)	48.3%
Memory size	144.5 KiB

False	37944
True	231
(Missing)	35733

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	37944	51.3%
True	231	0.3%
(Missing)	35733	48.3%

RatecodeID
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	< 0.1%
Missing	35733
Missing (%)	48.3%
Memory size	577.5 KiB

1.0	37358
5.0	756
2.0	29
4.0	28
3.0	4

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	114,525
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	37358	50.5%
5.0	756	1.0%
2.0	29	< 0.1%
4.0	28	< 0.1%
3.0	4	< 0.1%
(Missing)	35733	48.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	37358	97.9%
5.0	756	2.0%
2.0	29	0.1%
4.0	28	0.1%
3.0	4	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
.	38175	33.3%
0	38175	33.3%
1	37358	32.6%
5	756	0.7%
2	29	< 0.1%
4	28	< 0.1%
3	4	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	76350	66.7%
Other Punctuation	38175	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	38175	50.0%
1	37358	48.9%
5	756	1.0%
2	29	< 0.1%
4	28	< 0.1%
3	4	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
.	38175	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	114525	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	38175	33.3%
0	38175	33.3%
1	37358	32.6%
5	756	0.7%
2	29	< 0.1%
4	28	< 0.1%
3	4	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	114525	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	38175	33.3%
0	38175	33.3%
1	37358	32.6%
5	756	0.7%
2	29	< 0.1%
4	28	< 0.1%
3	4	< 0.1%

PULocationID
Real number (ℝ_≥0)

Distinct	250
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	109.0945094

Minimum	3
Maximum	265
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	577.5 KiB

Quantile statistics

Minimum	3
5-th percentile	22
Q1	52
median	76
Q3	166
95-th percentile	244
Maximum	265
Range	262
Interquartile range (IQR)	114

Descriptive statistics

Standard deviation	70.85340385
Coefficient of variation (CV)	0.649468101
Kurtosis	-0.7941199081
Mean	109.0945094
Median Absolute Deviation (MAD)	35
Skewness	0.6672850804
Sum	8062957
Variance	5020.204837
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
74	6555	8.9%
75	6063	8.2%
41	4071	5.5%
42	2683	3.6%
244	2554	3.5%
95	2006	2.7%
97	1927	2.6%
166	1889	2.6%
65	1325	1.8%
43	1320	1.8%
Other values (240)	43515	58.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3	194	0.3%
4	27	< 0.1%
7	1171	1.6%
8	1	< 0.1%
9	82	0.1%
10	273	0.4%
11	96	0.1%
12	1	< 0.1%
13	9	< 0.1%
14	403	0.5%

Value	Count	Frequency (%)
265	119	0.2%
264	32	< 0.1%
263	127	0.2%
262	25	< 0.1%
261	9	< 0.1%
260	216	0.3%
259	149	0.2%
258	116	0.2%
257	85	0.1%
256	66	0.1%

DOLocationID
Real number (ℝ_≥0)

Distinct	256
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	130.4430508

Minimum	1
Maximum	265
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	577.5 KiB

Quantile statistics

Minimum	1
5-th percentile	24
Q1	65
median	129
Q3	197
95-th percentile	248
Maximum	265
Range	264
Interquartile range (IQR)	132

Descriptive statistics

Standard deviation	76.94977646
Coefficient of variation (CV)	0.589910892
Kurtosis	-1.310876723
Mean	130.4430508
Median Absolute Deviation (MAD)	67
Skewness	0.1850186625
Sum	9640785
Variance	5921.268098
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
74	3042	4.1%
75	2716	3.7%
42	2598	3.5%
41	2164	2.9%
236	1417	1.9%
61	1351	1.8%
238	1329	1.8%
166	1283	1.7%
244	1104	1.5%
263	1094	1.5%
Other values (246)	55810	75.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	7	< 0.1%
2	7	< 0.1%
3	151	0.2%
4	91	0.1%
6	1	< 0.1%
7	627	0.8%
8	2	< 0.1%
9	87	0.1%
10	353	0.5%
11	87	0.1%

Value	Count	Frequency (%)
265	259	0.4%
264	65	0.1%
263	1094	1.5%
262	464	0.6%
261	72	0.1%
260	303	0.4%
259	163	0.2%
258	151	0.2%
257	128	0.2%
256	124	0.2%

passenger_count
Real number (ℝ_≥0)

MISSING

Distinct	7
Distinct (%)	< 0.1%
Missing	35733
Missing (%)	48.3%
Infinite	0
Infinite (%)	0.0%
Mean	1.196123117

Minimum	0
Maximum	6
Zeros	110
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	577.5 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	2
Maximum	6
Range	6
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.7626378212
Coefficient of variation (CV)	0.6375914069
Kurtosis	22.01311368
Mean	1.196123117
Median Absolute Deviation (MAD)	0
Skewness	4.609093394
Sum	45662
Variance	0.5816164463
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
1	34379	46.5%
2	2227	3.0%
5	683	0.9%
3	314	0.4%
6	312	0.4%
4	150	0.2%
0	110	0.1%
(Missing)	35733	48.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	110	0.1%
1	34379	46.5%
2	2227	3.0%
3	314	0.4%
4	150	0.2%
5	683	0.9%
6	312	0.4%

Value	Count	Frequency (%)
6	312	0.4%
5	683	0.9%
4	150	0.2%
3	314	0.4%
2	2227	3.0%
1	34379	46.5%
0	110	0.1%

trip_distance
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
SKEWED
ZEROS

Distinct	2794
Distinct (%)	3.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	42.0477196

Minimum	0
Maximum	244152.01
Zeros	1626
Zeros (%)	2.2%
Negative	0
Negative (%)	0.0%
Memory size	577.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0.5
Q1	1.34
median	2.6
Q3	5.68
95-th percentile	15.36
Maximum	244152.01
Range	244152.01
Interquartile range (IQR)	4.34

Descriptive statistics

Standard deviation	1958.08235
Coefficient of variation (CV)	46.56809856
Kurtosis	6401.155255
Mean	42.0477196
Median Absolute Deviation (MAD)	1.59
Skewness	72.23375746
Sum	3107662.86
Variance	3834086.49
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1626	2.2%
1.3	442	0.6%
1.4	430	0.6%
1.2	417	0.6%
1.1	406	0.5%
1	395	0.5%
0.9	375	0.5%
1.5	365	0.5%
1.7	353	0.5%
0.8	337	0.5%
Other values (2784)	68762	93.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1626	2.2%
0.01	27	< 0.1%
0.02	11	< 0.1%
0.03	15	< 0.1%
0.04	15	< 0.1%
0.05	13	< 0.1%
0.06	16	< 0.1%
0.07	8	< 0.1%
0.08	10	< 0.1%
0.09	8	< 0.1%

Value	Count	Frequency (%)
244152.01	1	< 0.1%
182840.32	1	< 0.1%
150672.01	1	< 0.1%
144972.47	1	< 0.1%
144948.19	1	< 0.1%
129402.5	1	< 0.1%
114653.63	1	< 0.1%
105286.83	1	< 0.1%
76058.91	1	< 0.1%
69045.73	1	< 0.1%

fare_amount
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3277
Distinct (%)	4.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	19.51612789

Minimum	-280
Maximum	280
Zeros	76
Zeros (%)	0.1%
Negative	72
Negative (%)	0.1%
Memory size	577.5 KiB

Quantile statistics

Minimum	-280
5-th percentile	5
Q1	9
median	16.83
Q3	25.21
95-th percentile	46.88
Maximum	280
Range	560
Interquartile range (IQR)	16.21

Descriptive statistics

Standard deviation	13.45626445
Coefficient of variation (CV)	0.6894945826
Kurtosis	8.635783862
Mean	19.51612789
Median Absolute Deviation (MAD)	7.83
Skewness	1.409656861
Sum	1442397.98
Variance	181.071053
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7	2204	3.0%
6.5	1930	2.6%
6	1883	2.5%
8	1753	2.4%
7.5	1705	2.3%
5.5	1679	2.3%
5	1513	2.0%
8.5	1511	2.0%
9	1431	1.9%
10	1244	1.7%
Other values (3267)	57055	77.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-280	1	< 0.1%
-120	1	< 0.1%
-52	1	< 0.1%
-33.87	1	< 0.1%
-28	1	< 0.1%
-25	3	< 0.1%
-21.16	1	< 0.1%
-15.98	1	< 0.1%
-15	1	< 0.1%
-13.44	1	< 0.1%

Value	Count	Frequency (%)
280	1	< 0.1%
171	1	< 0.1%
166	1	< 0.1%
150	1	< 0.1%
125	1	< 0.1%
120.5	1	< 0.1%
120	3	< 0.1%
111	1	< 0.1%
110	1	< 0.1%
106.91	1	< 0.1%

extra
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct	15
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.7556010175

Minimum	-5.5
Maximum	8.25
Zeros	45658
Zeros (%)	61.8%
Negative	29
Negative (%)	< 0.1%
Memory size	577.5 KiB

Quantile statistics

Minimum	-5.5
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	2.75
Maximum	8.25
Range	13.75
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.19422487
Coefficient of variation (CV)	1.58049664
Kurtosis	1.290200132
Mean	0.7556010175
Median Absolute Deviation (MAD)	0
Skewness	1.462910674
Sum	55844.96
Variance	1.426173039
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
0	45658	61.8%
2.75	14409	19.5%
1	7156	9.7%
0.5	5027	6.8%
5.5	687	0.9%
3.75	393	0.5%
3.25	261	0.4%
1.35	258	0.3%
4.09	24	< 0.1%
-0.5	16	< 0.1%
Other values (5)	19	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-5.5	1	< 0.1%
-2.75	3	< 0.1%
-1	9	< 0.1%
-0.5	16	< 0.1%
0	45658	61.8%
0.5	5027	6.8%
1	7156	9.7%
1.35	258	0.3%
2.75	14409	19.5%
3.25	261	0.4%

Value	Count	Frequency (%)
8.25	2	< 0.1%
5.5	687	0.9%
4.5	4	< 0.1%
4.09	24	< 0.1%
3.75	393	0.5%
3.25	261	0.4%
2.75	14409	19.5%
1.35	258	0.3%
1	7156	9.7%
0.5	5027	6.8%

mta_tax
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	577.5 KiB

0.5	37463
0.0	36386
-0.5	59

Length

Max length	4
Median length	3
Mean length	3.00079829
Min length	3

Characters and Unicode

Total characters	221,783
Distinct characters	4
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.5
2nd row	0.5
3rd row	0.5
4th row	0.5
5th row	0.5

Common Values

Value	Count	Frequency (%)
0.5	37463	50.7%
0.0	36386	49.2%
-0.5	59	0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.5	37522	50.8%
0.0	36386	49.2%

Most occurring characters

Value	Count	Frequency (%)
0	110294	49.7%
.	73908	33.3%
5	37522	16.9%
-	59	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	147816	66.6%
Other Punctuation	73908	33.3%
Dash Punctuation	59	< 0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	110294	74.6%
5	37522	25.4%

Other Punctuation

Value	Count	Frequency (%)
.	73908	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	59	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	221783	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	110294	49.7%
.	73908	33.3%
5	37522	16.9%
-	59	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	221783	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	110294	49.7%
.	73908	33.3%
5	37522	16.9%
-	59	< 0.1%

tip_amount
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	967
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.509278292

Minimum	-9.45
Maximum	110
Zeros	33957
Zeros (%)	45.9%
Negative	4
Negative (%)	< 0.1%
Memory size	577.5 KiB

Quantile statistics

Minimum	-9.45
5-th percentile	0
Q1	0
median	1.26
Q3	2.75
95-th percentile	4
Maximum	110
Range	119.45
Interquartile range (IQR)	2.75

Descriptive statistics

Standard deviation	1.774128974
Coefficient of variation (CV)	1.175481675
Kurtosis	203.2600878
Mean	1.509278292
Median Absolute Deviation (MAD)	1.26
Skewness	4.937682598
Sum	111547.74
Variance	3.147533618
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	33957	45.9%
2.75	20547	27.8%
1	1307	1.8%
2	1213	1.6%
3	526	0.7%
1.66	322	0.4%
1.56	311	0.4%
1.46	296	0.4%
1.36	274	0.4%
1.96	253	0.3%
Other values (957)	14902	20.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-9.45	1	< 0.1%
-1.14	3	< 0.1%
0	33957	45.9%
0.01	64	0.1%
0.02	8	< 0.1%
0.03	8	< 0.1%
0.04	4	< 0.1%
0.05	7	< 0.1%
0.06	2	< 0.1%
0.07	3	< 0.1%

Value	Count	Frequency (%)
110	1	< 0.1%
42	1	< 0.1%
38	1	< 0.1%
31.2	1	< 0.1%
30	1	< 0.1%
25	1	< 0.1%
24.09	1	< 0.1%
24.06	1	< 0.1%
24	1	< 0.1%
20.55	1	< 0.1%

tolls_amount
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	26
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.5169471505

Minimum	0
Maximum	31.25
Zeros	67701
Zeros (%)	91.6%
Negative	0
Negative (%)	0.0%
Memory size	577.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	6.12
Maximum	31.25
Range	31.25
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.801222874
Coefficient of variation (CV)	3.484346266
Kurtosis	20.60496277
Mean	0.5169471505
Median Absolute Deviation (MAD)	0
Skewness	3.9283023
Sum	38206.53
Variance	3.244403841
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
0	67701	91.6%
6.12	5345	7.2%
2.29	273	0.4%
2.8	241	0.3%
12.24	207	0.3%
8.41	51	0.1%
11.75	20	< 0.1%
4.58	12	< 0.1%
27.5	9	< 0.1%
17.87	8	< 0.1%
Other values (16)	41	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	67701	91.6%
2	2	< 0.1%
2.29	273	0.4%
2.8	241	0.3%
4.58	12	< 0.1%
4.75	1	< 0.1%
5.6	1	< 0.1%
6.12	5345	7.2%
8	3	< 0.1%
8.41	51	0.1%

Value	Count	Frequency (%)
31.25	1	< 0.1%
27.5	9	< 0.1%
23.5	2	< 0.1%
19.87	7	< 0.1%
18.36	2	< 0.1%
17.87	8	< 0.1%
16.82	1	< 0.1%
16.33	1	< 0.1%
16.12	1	< 0.1%
15.04	1	< 0.1%

ehail_fee
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	73908
Missing (%)	100.0%
Memory size	577.5 KiB

improvement_surcharge
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	577.5 KiB

0.3	73723
0.0	119
-0.3	66

Length

Max length	4
Median length	3
Mean length	3.000893002
Min length	3

Characters and Unicode

Total characters	221,790
Distinct characters	4
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.3
2nd row	0.3
3rd row	0.3
4th row	0.3
5th row	0.3

Common Values

Value	Count	Frequency (%)
0.3	73723	99.7%
0.0	119	0.2%
-0.3	66	0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.3	73789	99.8%
0.0	119	0.2%

Most occurring characters

Value	Count	Frequency (%)
0	74027	33.4%
.	73908	33.3%
3	73789	33.3%
-	66	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	147816	66.6%
Other Punctuation	73908	33.3%
Dash Punctuation	66	< 0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	74027	50.1%
3	73789	49.9%

Other Punctuation

Value	Count	Frequency (%)
.	73908	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	66	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	221790	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	74027	33.4%
.	73908	33.3%
3	73789	33.3%
-	66	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	221790	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	74027	33.4%
.	73908	33.3%
3	73789	33.3%
-	66	< 0.1%

total_amount
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3746
Distinct (%)	5.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	23.14664597

Minimum	-280.3
Maximum	280.3
Zeros	70
Zeros (%)	0.1%
Negative	72
Negative (%)	0.1%
Memory size	577.5 KiB

Quantile statistics

Minimum	-280.3
5-th percentile	6.8
Q1	12
median	20.64
Q3	29
95-th percentile	53.47
Maximum	280.3
Range	560.6
Interquartile range (IQR)	17

Descriptive statistics

Standard deviation	14.80600905
Coefficient of variation (CV)	0.6396611011
Kurtosis	6.822531653
Mean	23.14664597
Median Absolute Deviation (MAD)	8.58
Skewness	1.376921049
Sum	1710722.31
Variance	219.2179039
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7.8	1065	1.4%
19.78	1061	1.4%
7.3	1023	1.4%
8.3	1009	1.4%
6.8	997	1.3%
8.8	944	1.3%
6.3	852	1.2%
18.5	842	1.1%
9.3	795	1.1%
9.8	790	1.1%
Other values (3736)	64530	87.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-280.3	1	< 0.1%
-120.3	1	< 0.1%
-52.8	1	< 0.1%
-42.52	1	< 0.1%
-28.3	1	< 0.1%
-26.36	1	< 0.1%
-25.3	3	< 0.1%
-15.89	1	< 0.1%
-15.3	1	< 0.1%
-14.27	1	< 0.1%

Value	Count	Frequency (%)
280.3	1	< 0.1%
175	1	< 0.1%
166.3	1	< 0.1%
154.17	1	< 0.1%
151.3	1	< 0.1%
144.36	1	< 0.1%
128.17	1	< 0.1%
124.04	1	< 0.1%
123.25	1	< 0.1%
121.8	1	< 0.1%

payment_type
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	< 0.1%
Missing	35733
Missing (%)	48.3%
Memory size	577.5 KiB

1.0	23041
2.0	14926
3.0	157
4.0	50
5.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	114,525
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	2.0
2nd row	1.0
3rd row	1.0
4th row	2.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	23041	31.2%
2.0	14926	20.2%
3.0	157	0.2%
4.0	50	0.1%
5.0	1	< 0.1%
(Missing)	35733	48.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	23041	60.4%
2.0	14926	39.1%
3.0	157	0.4%
4.0	50	0.1%
5.0	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
.	38175	33.3%
0	38175	33.3%
1	23041	20.1%
2	14926	13.0%
3	157	0.1%
4	50	< 0.1%
5	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	76350	66.7%
Other Punctuation	38175	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	38175	50.0%
1	23041	30.2%
2	14926	19.5%
3	157	0.2%
4	50	0.1%
5	1	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
.	38175	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	114525	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	38175	33.3%
0	38175	33.3%
1	23041	20.1%
2	14926	13.0%
3	157	0.1%
4	50	< 0.1%
5	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	114525	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	38175	33.3%
0	38175	33.3%
1	23041	20.1%
2	14926	13.0%
3	157	0.1%
4	50	< 0.1%
5	1	< 0.1%

trip_type
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	35733
Missing (%)	48.3%
Memory size	577.5 KiB

1.0	37535
2.0	640

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	114,525
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	37535	50.8%
2.0	640	0.9%
(Missing)	35733	48.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	37535	98.3%
2.0	640	1.7%

Most occurring characters

Value	Count	Frequency (%)
.	38175	33.3%
0	38175	33.3%
1	37535	32.8%
2	640	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	76350	66.7%
Other Punctuation	38175	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	38175	50.0%
1	37535	49.2%
2	640	0.8%

Other Punctuation

Value	Count	Frequency (%)
.	38175	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	114525	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	38175	33.3%
0	38175	33.3%
1	37535	32.8%
2	640	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	114525	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	38175	33.3%
0	38175	33.3%
1	37535	32.8%
2	640	0.6%

congestion_surcharge
Categorical

MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	35733
Missing (%)	48.3%
Memory size	577.5 KiB

0.0	29228
2.75	8942
2.5	5

Length

Max length	4
Median length	3
Mean length	3.234237066
Min length	3

Characters and Unicode

Total characters	123,467
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	2.75
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	29228	39.5%
2.75	8942	12.1%
2.5	5	< 0.1%
(Missing)	35733	48.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	29228	76.6%
2.75	8942	23.4%
2.5	5	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	58456	47.3%
.	38175	30.9%
2	8947	7.2%
5	8947	7.2%
7	8942	7.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	85292	69.1%
Other Punctuation	38175	30.9%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	58456	68.5%
2	8947	10.5%
5	8947	10.5%
7	8942	10.5%

Other Punctuation

Value	Count	Frequency (%)
.	38175	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	123467	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	58456	47.3%
.	38175	30.9%
2	8947	7.2%
5	8947	7.2%
7	8942	7.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	123467	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	58456	47.3%
.	38175	30.9%
2	8947	7.2%
5	8947	7.2%
7	8942	7.2%

duration
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3120
Distinct (%)	4.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	16.85257843

Minimum	1
Maximum	60
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	577.5 KiB

Quantile statistics

Minimum	1
5-th percentile	3.816666667
Q1	8.05
median	14
Q3	22.63333333
95-th percentile	41
Maximum	60
Range	59
Interquartile range (IQR)	14.58333333

Descriptive statistics

Standard deviation	11.56316304
Coefficient of variation (CV)	0.6861361357
Kurtosis	1.078105442
Mean	16.85257843
Median Absolute Deviation (MAD)	6.716666667
Skewness	1.187936546
Sum	1245540.367
Variance	133.7067395
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
13	1427	1.9%
10	1425	1.9%
15	1424	1.9%
11	1421	1.9%
12	1405	1.9%
14	1374	1.9%
9	1327	1.8%
16	1277	1.7%
8	1233	1.7%
17	1207	1.6%
Other values (3110)	60388	81.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	75	0.1%
1.016666667	15	< 0.1%
1.033333333	10	< 0.1%
1.05	10	< 0.1%
1.066666667	9	< 0.1%
1.083333333	11	< 0.1%
1.1	13	< 0.1%
1.116666667	6	< 0.1%
1.133333333	14	< 0.1%
1.15	8	< 0.1%

Value	Count	Frequency (%)
60	36	< 0.1%
59.98333333	2	< 0.1%
59.95	2	< 0.1%
59.93333333	1	< 0.1%
59.9	1	< 0.1%
59.86666667	1	< 0.1%
59.85	1	< 0.1%
59.83333333	1	< 0.1%
59.81666667	1	< 0.1%
59.78333333	1	< 0.1%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	df_index	VendorID	lpep_pickup_datetime	lpep_dropoff_datetime	store_and_fwd_flag	RatecodeID	PULocationID	DOLocationID	passenger_count	trip_distance	fare_amount	extra	mta_tax	tip_amount	ehail_fee	improvement_surcharge	total_amount	payment_type	trip_type	congestion_surcharge	duration
0	0	2	2021-01-01 00:15:56	2021-01-01 00:19:52	N	1.0	43	151	1.0	1.01	5.5	0.5	0.5	0.00	None	0.3	6.80	2.0	1.0	0.00	3.933333
1	1	2	2021-01-01 00:25:59	2021-01-01 00:34:44	N	1.0	166	239	1.0	2.53	10.0	0.5	0.5	2.81	None	0.3	16.86	1.0	1.0	2.75	8.750000
2	2	2	2021-01-01 00:45:57	2021-01-01 00:51:55	N	1.0	41	42	1.0	1.12	6.0	0.5	0.5	1.00	None	0.3	8.30	1.0	1.0	0.00	5.966667
3	3	2	2020-12-31 23:57:51	2021-01-01 00:04:56	N	1.0	168	75	1.0	1.99	8.0	0.5	0.5	0.00	None	0.3	9.30	2.0	1.0	0.00	7.083333
4	7	2	2021-01-01 00:26:31	2021-01-01 00:28:50	N	1.0	75	75	6.0	0.45	3.5	0.5	0.5	0.96	None	0.3	5.76	1.0	1.0	0.00	2.316667
5	9	2	2021-01-01 00:58:32	2021-01-01 01:32:34	N	1.0	225	265	1.0	12.19	38.0	0.5	0.5	2.75	None	0.3	42.05	1.0	1.0	0.00	34.033333
6	10	2	2021-01-01 00:31:14	2021-01-01 00:55:07	N	1.0	244	244	2.0	3.39	18.0	0.5	0.5	0.00	None	0.3	19.30	2.0	1.0	0.00	23.883333
7	11	2	2021-01-01 00:08:50	2021-01-01 00:21:56	N	1.0	75	213	1.0	6.69	19.5	0.5	0.5	0.00	None	0.3	20.80	2.0	1.0	0.00	13.100000
8	12	2	2021-01-01 00:35:13	2021-01-01 00:44:44	N	1.0	74	238	1.0	2.34	10.0	0.5	0.5	0.00	None	0.3	14.05	1.0	1.0	2.75	9.516667
9	13	2	2021-01-01 00:39:57	2021-01-01 00:55:25	N	1.0	74	60	1.0	5.48	18.0	0.5	0.5	0.00	None	0.3	19.30	2.0	1.0	0.00	15.466667

Last rows

	df_index	VendorID	lpep_pickup_datetime	lpep_dropoff_datetime	store_and_fwd_flag	RatecodeID	PULocationID	DOLocationID	passenger_count	trip_distance	fare_amount	extra	tip_amount	tolls_amount	ehail_fee	improvement_surcharge	total_amount	payment_type	trip_type	congestion_surcharge	duration
73898	76508	2	2021-01-31 20:17:00	2021-01-31 20:35:00	None	NaN	108	210	NaN	5.05	25.95	2.75	0.0	0.00	None	0.3	29.00	NaN	NaN	NaN	18.0
73899	76509	2	2021-01-31 20:23:00	2021-01-31 20:41:00	None	NaN	60	254	NaN	5.33	29.45	2.75	0.0	0.00	None	0.3	32.50	NaN	NaN	NaN	18.0
73900	76510	2	2021-01-31 21:09:00	2021-01-31 21:23:00	None	NaN	174	213	NaN	5.18	29.45	2.75	0.0	0.00	None	0.3	32.50	NaN	NaN	NaN	14.0
73901	76511	2	2021-01-31 21:33:00	2021-01-31 22:18:00	None	NaN	136	225	NaN	17.13	71.83	2.75	0.0	6.12	None	0.3	81.00	NaN	NaN	NaN	45.0
73902	76512	2	2021-01-31 21:58:00	2021-01-31 22:47:00	None	NaN	218	41	NaN	18.18	56.86	2.75	0.0	6.12	None	0.3	66.03	NaN	NaN	NaN	49.0
73903	76513	2	2021-01-31 21:38:00	2021-01-31 22:16:00	None	NaN	81	90	NaN	17.63	56.23	2.75	0.0	6.12	None	0.3	65.40	NaN	NaN	NaN	38.0
73904	76514	2	2021-01-31 22:43:00	2021-01-31 23:21:00	None	NaN	35	213	NaN	18.36	46.66	0.00	12.2	6.12	None	0.3	65.28	NaN	NaN	NaN	38.0
73905	76515	2	2021-01-31 22:16:00	2021-01-31 22:27:00	None	NaN	74	69	NaN	2.50	18.95	2.75	0.0	0.00	None	0.3	22.00	NaN	NaN	NaN	11.0
73906	76516	2	2021-01-31 23:10:00	2021-01-31 23:37:00	None	NaN	168	215	NaN	14.48	48.87	2.75	0.0	6.12	None	0.3	58.04	NaN	NaN	NaN	27.0
73907	76517	2	2021-01-31 23:25:00	2021-01-31 23:35:00	None	NaN	119	244	NaN	1.81	15.45	2.75	0.0	0.00	None	0.3	18.50	NaN	NaN	NaN	10.0

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number